2011Journal of Inner Mongolia Agricultural UniversityRequires access

THE APPLICATION OF ARIMA MODEL IN SHANGHAI COMPOSITE INDEX

Sun Peng-zhe

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Abstract

In order to study the changes of Shanghai Comprehensive index and predict the trend of stock market fluctuations,this paper constructed some prediction models through time-series analysis.The models were applied to daily index prediction.The results show that the predictions almost approach the truth.So the study is able to provide the effective basis with investors of stock market for right investments.

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What this paper is about

In order to study the changes of Shanghai Comprehensive index and predict the trend of stock market fluctuations,this paper constructed some prediction models through time-series analysis.The models were applied to daily index prediction.The results show that the predictions almost approach the truth.So the study is able to provide the effective basis with investors of stock market for right investments.

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Available abstract

In order to study the changes of Shanghai Comprehensive index and predict the trend of stock market fluctuations,this paper constructed some prediction models through time-series analysis.The models were applied to daily index prediction.The results show that the predictions almost approach the truth.So the study is able to provide the effective basis with investors of stock market for right investments.

Key concepts: Autoregressive integrated moving average, Composite index, Stock market index, Index (typography), Econometrics, Stock market, Capitalization-weighted index, Time series

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